Designing a Multi-Asset Spot Grid Trading System
Summary
This article explains how to expand a single-pair cryptocurrency grid strategy into a multi-asset spot system. It outlines practical design needs: retrieving aggregated market data and account balances, assigning different grid intervals and order sizes to each pair, and preserving state so the strategy can resume after a restart. It proposes encoding per-pair settings in a delimited string or structured data, then parsing them into the strategy’s configuration.
The article also describes an exchange adapter layer for handling market data, balances, positions, order placement, and symbol precision across venues. It emphasizes checking each exchange’s minimum order sizes and price and quantity increments, since simulated trading may not enforce live constraints. The author reports a live trial that began during a strong one-way market and was losing at the time of writing. The source code is omitted, and the account is anecdotal; it provides no systematic performance results or evidence that grid trading is profitable.
Key ideas
- A multi-pair grid system needs separate settings for each traded symbol.
- Account data and market data can be fetched in batches and mapped to individual pairs.
- Persisting grid state allows a strategy to continue after it stops and restarts.
- Exchange adapters can isolate differences in APIs, trading rules, and symbol formats.
- Live execution must account for each pair’s precision and minimum order requirements.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.